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| * [chat.codes](https://dl.acm.org/doi/pdf/10.1145/3274400): Oney, S., Brooks, C., & Resnick, P. (2018). Creating guided code explanations with chat. codes. Proceedings of the ACM on Human-Computer Interaction, 2(CSCW), 1-20.\ | ||
| In the rapidly evolving world of software development, understanding code is becoming an art form as complex as creating it. Imagine a tool that acts like a detective, revealing the hidden narratives behind every line of code you write or encounter. This is exactly what Meta-Manager promises — a groundbreaking approach to understanding the intricate journeys of code through time and space. | ||
| Modern software development is a information-intensive endeavor. Research shows that developers spend an astonishing amount of time — up to 50% — simply reading and understanding code, rather than writing it. With the rise of AI code generation tools like ChatGPT, this challenge has only intensified. How do we make sense of code that might have been generated or modified by multiple hands, each with their own intent and context? |
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Add a citation to support the claim that "Research shows that developers spend an astonishing amount of time — up to 50% — simply reading and understanding code"
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| #### The AI Generation Twist | ||
| One fascinating insight emerged from the research: developers deeply value the ability to track code sourced from online platforms, especially AI tools like ChatGPT. As AI becomes more integrated into development workflows, understanding the provenance of code isn't just interesting — it's essential. | ||
| Complementing this perspective, research by Oney et al. in their groundbreaking paper on chat.codes demonstrated how interactive, conversational interfaces can provide guided explanations that help developers understand complex code segments more intuitively. As AI becomes more integrated into development workflows, understanding the provenance of code isn't just interesting — it's essential. |
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This reads repetitive as it appears in the previous section --- "As AI becomes more integrated into development workflows, understanding the provenance of code isn't just interesting — it's essential.".
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| #### The AI Generation Twist | ||
| One fascinating insight emerged from the research: developers deeply value the ability to track code sourced from online platforms, especially AI tools like ChatGPT. As AI becomes more integrated into development workflows, understanding the provenance of code isn't just interesting — it's essential. | ||
| Complementing this perspective, research by Oney et al. in their groundbreaking paper on chat.codes demonstrated how interactive, conversational interfaces can provide guided explanations that help developers understand complex code segments more intuitively. As AI becomes more integrated into development workflows, understanding the provenance of code isn't just interesting — it's essential. |
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The connection between chat.codes and the problem of tracking code sourced from online platforms is a bit unclear to me. Perhaps elaborate a bit more? or you could even provide a sketch of how the design of chat.codes can be integrated with meta manager
| While Meta-Manager is groundbreaking, the researchers acknowledge there's room for expansion. Future iterations might include: | ||
| * Annotation and sharing of specific code versions | ||
| * Saving specific queries and filter settings | ||
| * Addressing potential privacy concerns |
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During the class we discussed a lot around the privacy concerns. It would be good to expand this part a bit
| Imagine future development environments where every line of code comes with a complete "passport" — showing its origin, transformations, and the reasoning behind its existence. This isn't just about tracking changes; it's about creating a more transparent, collaborative, and intelligent coding ecosystem. | ||
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| #### Conclusion | ||
| Meta-Manager represents more than a tool — it's a philosophy. It suggests that understanding code is as crucial as writing it, and that every line of code tells a story waiting to be discovered. |
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The philosophy part naturally ties into the concept of literate programming
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Hello, I submit to have one round of feedback before the deadline, thank you :)